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Deep learning in photonics:introduction

Deep learning in photonics: introduction

作     者:LI GAO YANG CHAI DARKO ZIBAR AND ZONGFU Yu 

作者机构:Institute of Advanced Materials(IAM)and School of Materials Science and EngineeringNanjing University of Posts and TelecommunicationsNanjing 210046China Department of Applied PhysicsThe Hong Kong Polytechnic UniversityHong KongChina Department of Photonics EngineeringTechnical University of Denmark2800 Kgs.Lyngby Denmark department of Electrical and Computer EngineeringUniversity of WisconsinMadisonWisconsin 53706USA 

出 版 物:《Photonics Research》 (光子学研究(英文版))

年 卷 期:2021年第9卷第8期

页      面:I0001-I0003页

核心收录:

学科分类:12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 070207[理学-光学] 07[理学] 081104[工学-模式识别与智能系统] 08[工学] 0835[工学-软件工程] 0803[工学-光学工程] 0811[工学-控制科学与工程] 0812[工学-计算机科学与技术(可授工学、理学学位)] 0702[理学-物理学] 

主  题:Deep photonics learning 

摘      要:The connection between Maxwell’s equations and neural networks opens unprecedented opportunities at the interface between photonics and deep *** feature issue highlights recent research progress at the interdisciplinary field of photonics and deep learning and provides an opportunity for different communities to exchange their ideas from different perspectives.

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